Dynamic CT evaluation of tumor vascularity in renal cell carcinoma
Dynamic CT evaluation of tumor vascularity in renal cell carcinoma
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DOI：
10.2214/ajr.04.1408
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发表时间：
2006-05-01
影响因子：
5
通讯作者：
Xin, QM
中科院分区：
文献类型：
--
作者：
Jin, HW;Peng, GM;Xin, QM
OBJECTIVE.我们研究的目的是评估动态CT增强参数之间的相关性;癌组织微血管密度（MVD，提供肿瘤血管分布组织学评估的热点方法）;和肾细胞癌中的肿瘤。主题和方法。对24例经病理证实的肾癌患者行动态增强CT扫描。计算所有病灶的增强参数、时间-密度曲线斜率、组织增强前后的密度差（Δ H）、组织B比（TBR）和时间-密度曲线下面积（AR）。对应于CT平面的病理切片用鼠抗人CD 34单克隆抗体和H和E染色。使用Fuhnnan核级。记录血管热点。采用Speannan等级相关法确定增强参数、MVD测定值和肿瘤核分级之间的关系强度。CD 34染色的MVD显示肾细胞癌病变中阳性血管内皮细胞分布不均匀。肿瘤内部和肿瘤之间的增强分布不均匀。肾癌病灶的时间-密度曲线呈不均匀分布。H（中位数，21.0 H;范围，2.2-105.8 H）、TBR（中位数，39%;范围，10.7-154.7%）、AR（中位数，1.58 H x sec;范围，0.23-3.67 H x sec）和斜率（中位数，2.76;范围，0.53-6.76）的增强参数变化很大。肾癌组织MVD与动态CT增强各参数均显著相关。A H、斜率、TBR和AR的相关系数（r）分别为0.62、0.54、0.55和0.44（p <0.05）。所有增强参数与肿瘤核分级无显著相关性。它们不能预测细胞核分级。动态CT增强参数可用于评价活体肿瘤血管分布。动态增强CT图像可反映肿瘤血管生成的不均一性，其增强参数与肿瘤MVD之间存在相关性。
OBJECTIVE. The purpose of our study was to evaluate the correlation between the enhancement parameters of dynamic CT; the carcinoma tissue microvessel density (MVD, a hot- spot method to provide a histologic assessment of tumor vascularity); and turno in renal cell carcinomas.SUBJECTS AND METHODS. Twenty-four patients with histologically diagnosed renal cell carcinoma underwent dynamic enhanced CT. Enhancement parameters, slope of the time-density curve, the density difference before and after tissue enhancement (Delta H), tissue b ratio (TBR), and area under the time-density curve (AR), were calculated for all lesions. Pathology slides corresponding to the CT plane were stained using mouse antihuman CD34 monoclonal antibody and H and E. Fuhnnan nuclear grade was used. Vascular hot spots of crovessels were recorded. Speannan's rank correlation was performed to determine the strength of the relationship between enhancement parameters, MVD determinations, and tumor nuclear grade.RESULTS. MVD with CD34 staining revealed uneven distribution of positively stained vascular endothelial cells in renal cell carcinoma lesions. Heterogeneous distribution of contrast enhancement was seen among and within individual tumors. The tumors appeared as uneven patterns on time-density curves of renal cell carcinoma lesions. Enhancement parameters of H (median, 2 1.0 H; range, 2.2-105.8 H), TBR (median, 39%; range, 10.7-154.7%), AR (median, 1.58 H x sec; range, 0.23-3.67 H x sec), and slope (median, 2.76; range, 0.53-6.76) varied greatly. Renal cell carcinoma tissue MVD significantly correlated with all enhancement parameters of dynamic CT. The correlation coefficients (r) were 0.62, 0.54, 0.55, and 0.44, respectively, for A H, slope, TBR, and AR (p < 0.0 5). All enhancement parameters did not significantly correlate with tumor nuclear grade. They were not predictive of nuclear grade.CONCLUSION. Enhancement parameters of dynamic CT may be suited to evaluate tumor vascularity in vivo. Dynamic enhanced CT images may reflect the heterogeneity of tumor angiogenesis on the basis of the correlation between enhancement parameters and MVD of renal cell carcinoma.